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PHM 830 - Experimental Design & Data Analysis*


Practical application of statistical principles to the design of experiments and analysis of experimental data in pharmacology, toxicology, and related biomedical sciences.

Recommended Background

Some biology and/or chemistry is strongly suggested. PHM819 or PHM 801


  • Variables and measurement scale
  • Distribution and descriptive statistics
  • Statistical inference and introduction to hypothesis testing
  • Hypothesis testing: Comparison of two groups
  • Introduction to analysis of variance
  • Simple ANOVA designs and their non-parametric alternatives
  • Factorial ANOVA
  • A posteriori or posthoc multiple comparison methods
  • Transformations, outliers and missing data
  • Correlation and regression analysis
  • Analysis of categorical data
  • Survival analysis

Recommended Textbooks

No textbooks required; electronic materials utilized. Suggested supplemental book:

book cover

Intuitive Biostatistics: A Nonmathematical
Guide to Statistical Thinking

(Motulsky, 2nd edition revised, 2010.)
(Motulsky, 3rd edition. 2013.)




PHM 819


Dr. William Jackson is the Director and Academic Advisor for the PSM in Integrative Pharmacology Program, and Professor and Acting Chairperson of Pharmacology & Toxicology. He holds a PhD from Michigan State University, and specializes in microvascular cell ion channel physiology and pharmacology, control of peripheral arteriolar tone and local control of bloodflow.


Online: Summer, Fall





Sections available

  • 730 MSU Students
  • 731 Lifelong In-State
  • 732 Lifelong Out-State


  • MS/Pharmacology & Toxicology (Required)
  • MS/Integrative Pharmacology (Required)
  • Grad Cert/ SafetyPhm
  • PhD (Required)